Product Development Model Oriented for the R&amp;D Projects of the Brazilian Electricity Sector

Pereira, João Paulo; Canciglieri, Osíris

doi:10.4028/www.scientific.net/amm.518.366

Cited by 11 publications

(8 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several approaches can be identified for these activities, defined according to the type of company or product. Various models are thus characterized (Pereira, 2018). New product development is a complex process, involving high risk.…”

Section: Literature Reviewmentioning

confidence: 99%

Untitled

2023

SPSUTOM

View full text Add to dashboard Cite

Artificial intelligence (AI) can be applied in various areas of crisis management. It can provide numerous benefits concerning speed, effectiveness and precision of actions. AI accelerates the process of massive amounts of data processing, such as sensor data, satellite images, social data streams and much more. This enables to make quick analysis of a situation and make quick decisions in order to monitor various sources of information in real-time and detect early signals of a crisis. Advanced algorithms can identify patterns and anomalies enabling a quick response. AI can be used to model various crisis scenarios based on available historical and current data. This way it is possible to predict the probable effects of a given crisis and prepare for various situations. AI can analyze social media data to monitor community sentiments, identify potential threats and manage crisis communication. Automatic sentiment analysis systems can help understand society's response to a crisis. Advanced AI systems can be used to predict human behavior in various crisis scenarios. This allows to understand better how people may react and what their needs are in a given time. AI can help detect and combat cyber attacks, which constitute a serious threat, especially when it is necessary to maintain critical infrastructures. Integrating AI into crisis management requires caution because decisions made by AI systems should be consistent with ethical standards and they must consider the human supervision and assessment of the crisis situation. Design/methodology/approach: The paper analyzes the AI methods applied during crises. The results of interviews conducted with students, teachers and authors' personal experiences are provided. Findings: AI is a new way of solving problems, especially during crises. The new technologies determine the way and the speed of problems solving. Originality/value: Originality based on the interviews and post-crisis (COVID) points of view are the value.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Untitled

2023

SPSUTOM

View full text Add to dashboard Cite

show abstract

“…Due to the preference of the authors, after reading and analysing several models, the "model of integrated product development oriented to R&D projects of the Brazilian electricity sector" was taken as a basis because, for the development of this model, a vast amount of research on the published product development models was carried out (Figure 5) [53] The model described brings robust research in which 38 publications are analysed from the year 1962 to 2010; then, the author presents the contributions of the publications for the preparation of the macro-phases, phases, and stages of the model. To associate the IPDP and the GSCM concept, there were classified and analysed activities of the following stages: green design, green purchasing, green production, green manufacturing, green distribution and reverse logistics.…”

Section: Preliminary Model Of Integrated Product Development Process ...mentioning

confidence: 99%

“…The construction of the preliminary model (Figure 5) was conceptually based on the existing relationships between the activities existing in the external and internal environments of the GSCM (Figures 1-4) and the macrophases, phases and, steps of the IPDP model proposed by Pereira and Canciglieri Junior [53]. These relationships are emphasized in the columns "Contribution" and "Macrophases, Phases and steps of the proposed preliminary model" of Table 10.…”

Section: Relationship Of the Gscm's Internal And External Environment...mentioning

confidence: 99%

Proposal for a Preliminary Model of Integrated Product Development Process Oriented by Green Supply Chain Management

et al. 2022

View full text Add to dashboard Cite

For sustainable product development, activities related to the selection of raw materials, product design, manufacturing, packaging, and distribution must be considered in a way that respects environmental limits and implements alternatives to reduce the consumption of natural resources. Due to this context, companies have sought to create environmentally sustainable alternatives for products and processes, once exposed to government, market, and regulatory pressures. Given this scenario, the question of this study is presented: Is it possible to define a conceptual model from existing models in the literature that guides companies in their Integrated Product Development Process (IPDP) and is oriented by Green Supply Chain Management (GSCM)? To answer the research problem question, a preliminary model integrating the IPDP and GSCM themes was presented. The elaboration of the preliminary model was only possible from the systematic literature review and content analysis previously carried out and presented in the general data in this article. The general aim of the study is to present a preliminary model in which IPDP is oriented to GSCM. As specific objectives, this study intends to present models previously published that have some relation to the IPDP related to green design, green purchase, green manufacturing, green distribution, and reverse logistics, which are related to GSCM; in addition, it presents guidelines to integrate the stages of product development and GSCM to reduce the environmental impact. The contribution of the preliminary model for companies is to present criteria that reduce the environmental impact of products in different GSCM activities within the IPDP. The contribution of this study is to present an analysis of the existing models, which will be the basis for the development of a conceptual model.

show abstract

“…The Integrated Product Development Process refers to a multi-disciplinary and communicative product development approach, which relates to the concept of Transdisciplinary Engineering applied to traditional PDP [25] [26]. There are several models and standards focused on the process, defining each of its phases, methods of verification and related tools, as pointed by [27]. However, each model is different and cannot, in an explicit way, represent all life-cycle situations in the necessary level of abstraction [28].…”

Section: Cross-ipdp Phases' Issuesmentioning

confidence: 99%

A Discussion on Current Issues for Semantic Interoperability in an Integrated Product Development Process

Leite¹,

Szejka²,

Canciglieri³

et al. 2018

Product Lifecycle Management to Support Industry 4.0

View full text Add to dashboard Cite

Through past decade, the complexity of integrated product development process has been significantly increased, due to highly elaborated customer's needs, market requirements and their multi-disciplinary nature. In this context, the meaning and formal structure of such information must be well managed since initial stages of product development, in order to avoid semantic heterogeneity and subsequent mistakes in interpretation. The aim of this paper is to understand the current issues related to this scenario, through the study of later works and research regarding Semantic Interoperability through ontologies in multiple domains, applicable in the field of Product Development and Manufacturing. Search material points out that a significant issue regards the input of information, since most of current models merely translate information from different sources, instead of understanding its nature and stablish a common standard to extract and structure it. Research has suggested that Knowledge Extraction models may be a viable path to filter and refine the quality of the input information, as means to improve the accuracy and effectiveness of new knowledge. This research structured its findings in a model that explores the issues of semantic interoperability through reference ontologies, to bring light to new research themes, validated through further research.

show abstract

Product Development Model Oriented for the R&D Projects of the Brazilian Electricity Sector

Cited by 11 publications

References 9 publications

Untitled

Untitled

Proposal for a Preliminary Model of Integrated Product Development Process Oriented by Green Supply Chain Management

A Discussion on Current Issues for Semantic Interoperability in an Integrated Product Development Process

Contact Info

Product

Resources

About